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license: apache-2.0 |
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language: |
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- zh |
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- en |
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base_model: |
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- Qwen/Qwen3-1.7B-Base |
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pipeline_tag: text-to-speech |
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--- |
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# MOSS-TTSD 🪐 |
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## Overview |
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MOSS-TTSD (text to spoken dialogue) is an open-source bilingual spoken dialogue synthesis model that supports both Chinese and English. |
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It can transform dialogue scripts between two speakers into natural, expressive conversational speech. |
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MOSS-TTSD supports voice cloning and single-session speech generation of up to 960 seconds, making it ideal for AI podcast production. |
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## Highlights |
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- **Highly Expressive Dialogue Speech**: Built on unified semantic-acoustic neural audio codec, a pre-trained large language model, millions of hours of TTS data, and 400k hours synthetic and real conversational speech, MOSS-TTSD generates highly expressive, human-like dialogue speech with natural conversational prosody. |
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- **Two-Speaker Voice Cloning**: MOSS-TTSD supports zero-shot two speakers voice cloning and can generate conversational speech with accurate speaker swithcing based on dialogue scripts. |
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- **Chinese-English Bilingual Support**: MOSS-TTSD enables highly expressive speech generation in both Chinese and English. |
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- **Long-Form Speech Generation (up to 960 seconds)**: Thanks to low-bitrate codec and training framework optimization, MOSS-TTSD has been trained for long speech generation, enabling single-session speech generation of up to 960 seconds. |
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- **Fully Open Source & Commercial-Ready**: MOSS-TTSD and its future updates will be fully open-source and support free commercial use. |
